Code Editor for app.py

import streamlit as st
import pandas as pd

@st.cache_data
def load_data(url):
    return pd.read_csv(url)

st.title('Penguins Data Viewer')

url = st.text_input('Enter CSV URL:', 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv')

# Load data
try:
    df = load_data(url)
except Exception as e:
    st.error(f'Error reading the CSV file: {e}')
    df = pd.DataFrame()  # Empty DataFrame if error occurs

if not df.empty:
    st.subheader('DataFrame Preview')
    num_rows = st.number_input('Number of rows to display:', min_value=1, max_value=len(df), value=5)
    shuffle_data = st.checkbox('Shuffle DataFrame?')

    if shuffle_data:
        df = df.sample(frac=1).reset_index(drop=True)

    st.dataframe(df.head(num_rows))

    # Select variables for visualization
    selected_columns = st.multiselect('Select columns for visualization:', df.columns)

    if len(selected_columns) == 1:
        st.subheader(f'Visualization for {selected_columns[0]}')
        st.bar_chart(df[selected_columns[0]].value_counts())
    elif len(selected_columns) == 2:
        st.subheader(f'Visualization for {selected_columns[0]} and {selected_columns[1]}')
        st.scatter_chart(df[selected_columns])
    elif len(selected_columns) == 0:
        st.info('Please select one or two variables to visualize.')